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ECOSTRESS Resources
Access learning resources for the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) designed to help you optimize your Earth science research.
The ECOSTRESS Data Resources GitHub repository, maintained by NASA's Land Processes Distributed Active Archive Center (LP DAAC), provides guides, Python scripts, and Jupyter notebook tutorials to help users find, access, and work with ECOSTRESS data. This repository is publicly available and welcomes contributions from the community.
Table of contents
ECOSTRESS Learning Resources
This ARSET training introduces the applications of ECOSTRESS for crop health, volcanoes, urban heat, wildland fires, coastal systems, and much more.
Training
Nov. 20, 2019
Europe experienced a heat wave in 2019, highlighting the dangers of urban heat islands and the potential of ECOsystem Spaceborne Thermal Radiometer (ECOSTRESS) data to identify at-risk areas.
Data in Action
Aug. 21, 2019
Learn how ECOSTRESS measures surface temperatures to assess plant water use and stress, aiming to optimize agricultural practices and support ecosystem health.
Tutorial
June 25, 2018
Pagination
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Who uses NASA Earth science data? Dr. Michael Dietze, to improve ecological models through the integration of remotely-sensed data.
Data User Story
Dec. 22, 2020
Learn how to use using Earthdata Search, Python, and QGIS to download and work with data from NASA's Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS).
Event
March 27, 2019
ECOSTRESS acquired its first image on July 9, 2018, over Egypt.
News
July 27, 2018
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